{ "data_id": "43728", "name": "1996-2019-NBA-Stats-Complete-With-Player-Stats", "exact_name": "1996-2019-NBA-Stats-Complete-With-Player-Stats", "version": 1, "version_label": "v1.0", "description": "Naturally, I am myself an NBA fan and I don't prefer when I have data that has missing information. But not missing as like missing instance in columns, I mean the whole columns that I could use in my research or whatever I do. That is why I always scrape my data to ensure the quality of it. Here, I want to present to you one of the most complete NBA datasets somebody can get their hands on. \nThis data represents the complete basic stats from every regular season game from 1996\/1997 till the 2018\/2019 season.\nI already finished my business with this dataset, but I can't wait to see what are people from Kaggle going to do with it!\nCredit: stats.nba.com", "format": "arff", "uploader": "Dustin Carrion", "uploader_id": 30123, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-24 07:42:15", "update_comment": null, "last_update": "2022-03-24 07:42:15", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102553\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "1996-2019-NBA-Stats-Complete-With-Player-Stats", "Naturally, I am myself an NBA fan and I don't prefer when I have data that has missing information. But not missing as like missing instance in columns, I mean the whole columns that I could use in my research or whatever I do. That is why I always scrape my data to ensure the quality of it. Here, I want to present to you one of the most complete NBA datasets somebody can get their hands on. This data represents the complete basic stats from every regular season game from 1996\/1997 till the 2018 " ], "weight": 5 }, "qualities": { "NumberOfInstances": 54514, "NumberOfFeatures": 142, "NumberOfClasses": null, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 129, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.0026048354551124484, "PercentageOfNumericFeatures": 90.84507042253522, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": null, "PercentageOfMissingValues": 0 }, "tags": [ { "uploader": "38960", "tag": "Machine Learning" }, { "uploader": "38960", "tag": "Mathematics" } ], "features": [ { "name": "Unnamed:_0", "index": "0", "type": "numeric", "distinct": "54514", "missing": "0", "min": "0", "max": "54513", "mean": "27257", "stdev": "15737" }, { "name": "Season", "index": "1", "type": "numeric", "distinct": "23", "missing": "0", "min": "0", "max": "99", "mean": "23", "stdev": "33" }, { "name": "Date", "index": "2", "type": "string", "distinct": "3646", "missing": "0" }, { "name": "Season_Half", "index": "3", "type": "numeric", "distinct": "2", "missing": "0", "min": "1", "max": "2", "mean": "2", "stdev": "0" }, { "name": "Game", "index": "4", "type": "numeric", "distinct": "27257", "missing": "0", "min": "20000001", "max": "29901189", "mean": "22296045", "stdev": "3259796" }, { "name": "Team", "index": "5", "type": "string", "distinct": "30", "missing": "0" }, { "name": "Q1", "index": "6", "type": "numeric", "distinct": "48", "missing": "0", "min": "3", "max": "51", "mean": "25", "stdev": "6" }, { "name": "Q2", "index": "7", "type": "numeric", "distinct": "47", "missing": "0", "min": "3", "max": "49", "mean": "25", "stdev": "6" }, { "name": "Q3", "index": "8", "type": 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"name": "FG%_player2", "index": "58", "type": "numeric", "distinct": "220", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "3PM_player2", "index": "59", "type": "numeric", "distinct": "13", "missing": "0", "min": "0", "max": "13", "mean": "1", "stdev": "1" }, { "name": "3PA_player2", "index": "60", "type": "numeric", "distinct": "21", "missing": "0", "min": "0", "max": "22", "mean": "2", "stdev": "3" }, { "name": "3P%_player2", "index": "61", "type": "numeric", "distinct": "68", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "FTM_player2", "index": "62", "type": "numeric", "distinct": "24", "missing": "0", "min": "0", "max": "25", "mean": "3", "stdev": "3" }, { "name": "FTA_player2", "index": "63", "type": "numeric", "distinct": "31", "missing": "0", "min": "0", "max": "39", "mean": "4", "stdev": "4" }, { "name": "FT%_player2", "index": "64", "type": "numeric", "distinct": "130", "missing": "0", "min": "0", "max": "1", 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"name": "FGA_player3", "index": "79", "type": "numeric", "distinct": "37", "missing": "0", "min": "0", "max": "50", "mean": "9", "stdev": "6" }, { "name": "FG%_player3", "index": "80", "type": "numeric", "distinct": "192", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "3PM_player3", "index": "81", "type": "numeric", "distinct": "12", "missing": "0", "min": "0", "max": "14", "mean": "1", "stdev": "1" }, { "name": "3PA_player3", "index": "82", "type": "numeric", "distinct": "21", "missing": "0", "min": "0", "max": "24", "mean": "2", "stdev": "3" }, { "name": "3P%_player3", "index": "83", "type": "numeric", "distinct": "58", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "FTM_player3", "index": "84", "type": "numeric", "distinct": "21", "missing": "0", "min": "0", "max": "20", "mean": "2", "stdev": "2" }, { "name": "FTA_player3", "index": "85", "type": "numeric", "distinct": "29", "missing": "0", "min": "0", "max": "34", 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"name": "FGM_player4", "index": "100", "type": "numeric", "distinct": "19", "missing": "0", "min": "0", "max": "18", "mean": "4", "stdev": "3" }, { "name": "FGA_player4", "index": "101", "type": "numeric", "distinct": "32", "missing": "0", "min": "0", "max": "34", "mean": "8", "stdev": "5" }, { "name": "FG%_player4", "index": "102", "type": "numeric", "distinct": "162", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "3PM_player4", "index": "103", "type": "numeric", "distinct": "12", "missing": "0", "min": "0", "max": "11", "mean": "1", "stdev": "1" }, { "name": "3PA_player4", "index": "104", "type": "numeric", "distinct": "19", "missing": "0", "min": "0", "max": "18", "mean": "2", "stdev": "2" }, { "name": "3P%_player4", "index": "105", "type": "numeric", "distinct": "57", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "FTM_player4", "index": "106", "type": "numeric", "distinct": "18", "missing": "0", "min": "0", "max": 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